Pegasystems PEGACPDS88V1 Exam Details & Actual Exam Questions

  • Exam Code/Number: PEGACPDS88V1
  • Exam Name/Title: Certified Pega Data Scientist 88V1
  • Certification Provider: Pegasystems
  • Corresponding Certification: Pega PCDS
  • Exam Questions: 142
  • Updated On: Sep,05 2026
  • Certification Level: Professional

Pegasystems Certified Pega Data Scientist 88V1 Exam Questions

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Pegasystems PEGACPDS88V1 Exam Overview:

Certification Vendor:Pegasystems
Exam Name:Pegasystems Certified Pega Data Scientist (88V1)
Exam Number:PEGACPDS88V1
Exam Format:Multiple choice, Multiple response, Drag and drop
Real Exam Qty:Approximately 60
Exam Price:USD 175 (may vary by region)
Passing Score:Approximately 65%–70%
Exam Duration:90 minutes
Certificate Validity Period:3 years
Available Languages:English
Related Certifications:Pega Decisioning Consultant
Pega Certified System Architect
Recommended Training:Pega Academy - Data Scientist Learning Path
Exam Registration:Pega Certification Portal
Pearson VUE Pega Exams
Sample Questions:Pegasystems PEGACPDS88V1 Sample Questions
Exam Way:Online proctored or test center (Pearson VUE)
Pre Condition:Recommended: Pega Certified System Architect (CSA) or equivalent Pega platform experience
Official Syllabus URL:https://www.pega.com/services/education-and-certification

Pegasystems PEGACPDS88V1 Exam Syllabus Topics:

SectionObjectives
Topic 1: Analytics and Reporting- Reporting tools
  • 1. Pega reporting structure
    • 2. Dashboard configuration
      - Data insights
      • 1. Performance metrics
        • 2. Customer behavior analysis
          Topic 2: Pega Decisioning and Predictive Analytics- Adaptive models
          • 1. Predictive models overview
            • 2. Model training and scoring
              - Decision strategies
              • 1. Next-best-action design
                • 2. Strategy rules and components
                  Topic 3: Data Flow and Integration- External system integration
                  • 1. Data transformation rules
                    • 2. API integration patterns
                      - Data flow architecture
                      • 1. Batch vs real-time processing
                        • 2. Data pipeline configuration
                          Topic 4: Data Management in Pega Platform- Data pages and data sources
                          • 1. External data integration
                            • 2. Configuring data pages
                              - Data modeling concepts
                              • 1. Data types and properties
                                • 2. Class structure and inheritance


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